aaai 1996 论文列表Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, AAAI 96, IAAI 96, Portland, Oregon, USA, August 4-8, 1996, Volume 2. |
Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science.
The BOEING 777: Concurrent Engineering and Digital Pre-Assembly (Abstract).
SSCFI: Autonomous Fault Isolation in Communications Circuits.
AdjudiPro® 2.0.
Monitoring Frog Communities: An Application of Machine Learning.
Supporting Performance and Configuration Management of GTE Cellular Networks.
The SIGNAL Expert System.
KARMA: Managing Business Rules from Specification to Implementation.
The NASA Personnel Security Processing Expert System.
Intelligent Retail Logistics Scheduling.
EZ Reader: Embedded AI for Automatic Electronic Mall Interpretation and Routing.
Settlement Analysis Expert (SAX): Modeling Complex Business Logic in the Development of Enterprise Solutions.
Diagnosing Delivery Problems in the White House Information Distribution System.
Comet: An Application of Model-Based Reasoning to Accounting Systems.
Using Artificial Neural Networks to Predict the Quality and Performance of Oilfield Cements.
Localization of Troubles in Telephone Cable Networks.
An Intelligent System for Asset and Liability Assessment.
Developing and Deploying Knowledge on a Global Scale.
Near Optimal Objects Packing through Dimensional Unfolding.
EASy: Expert Authorizations System.
Neural Network Guided Search Control in Partial Order Planning.
Dynamic Map: Representation of Interactions between Robots.
Optimal Factory Scheduling Using Stochastic Dominance A*.
Agents Modeling Agents in Information Economies.
Constructive Induction of Features for Planning.
Rabbi: Exploring the Inner World through Stories.
Learning Models for Multi-Source Integration.
Hybrid Knowledge- and Databases.
Experimentation-Driven Operator Learning.
Blocking as a Middle-Ground for Step-Order Commitments in Planning.
Dynamic Constraint-Based Planning in Trauma Management.
Automated Formulation of Constraint Satisfaction Problems.
Effects of Local Information on Group Behavior.
Symbolic Performance and Learning in Continuous Environments.
SplitNet: A Dynamic Hierarchical Network Model.
The Kritzel System for Handwriting Interpretation.
MarketBayes: A Distributed, Market-Based Bayesian Network.
Learning Procedural Planning Knowledge in Complex Environments.
Contracting Strategy Based on Markov Process Modeling.
A Computational Model of Persistent Beliefs.
Constructive Neural Network Learning Algorithms.
An Incremental Interactive Algorithm for Regular Grammar Inference.
Ad Hoc Attribute-Value Prediction.
Controlling State-Space Abstraction in Bayesian Networks.
A Transformational Analysis of the EBL Utility Problem.
Proposed Interestingness Measure for Characteristic Rules.
Belief Network Algorithms: A Study of Performance.
Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS.
Heterogeneous and Homogeneous Robot Group Behavior.
Self-Adaptation of Mutation Rates and Dynamic Fitness.
Integration of an Expert Teaching Assistant with Distance Learning Software.
CADI - An Intelligent, Multimedia Tutor for Cardiac Auscultation.
Simple Bayesian Classifiers Do Not Assume Independence.
Multistrategy Learning: A Case Study.
Fast Discovery of Simple Rules.
Achieving Agent Coordination via Distributed Preferences.
Characterizing Temporal Repetition.
Computing Default Logic Extensions: An Implementation.
Learning Topological Maps: An Alternative Approach.
A Reinforcement Learning Framework for Combinatorial Optimization.
Experiments in Evolutionary Synthesis of Robotic Neurocontrollers.
Expecting the Unexpected: Detecting and Reacting to Unplanned-for World States.
Efficient Planning by Graph Rewriting.
The Use of Knowledge-Based Systems Techniques for Risk Assessment.
Algorithm Evolution for Signal Understanding.
Why Dissect a Frog When You Can Simulate a Lion?
Induction of Selective Bayesian Networks from Data.
Adaptive Shared Control for an Intelligent Power Wheelchair.
Symptom Management for Schizophrenic Agents.
A Connectionist Model of Instructed Learning.
Semi-Deterministic Reasoning.
Recurrent Expert Networks.
Agent-Centered Search: Situated Search with Small Look-Ahead.
Bounding the Cost of Learned Rules: A Transformational Approach.
Learning in Multi-Agent Systems.
A Computational Theory of Turn-Taking.
Towards a Unified Approach to Concept Learning.
Selection of Passages for Information Reduction.
Amelia.
Reid G. Simmons Sebastian Thrun Greg Armstrong Richard Goodwin Karen Zita Haigh Sven Koenig Shyjan Mahamud Daniel Nikovski Joseph O'Sullivan
YODA: The Young Observant Discovery Agent.
Mobile Robot Navigation and Control: A Case Study.
Clementine: Colorado School of Mines - The Undergraduate Interdisciplinary Robotics Team.
Lola, the Mobile Robot from NC State.
Doing Tasks with Multiple Mini-Robots.
McMaster University's Artificial Computing System.
CoMRoS: Cooperative Mobile Robots Stuttgart.
A Reactive Mobile Robot Based on a Formal Theory of Action.
The Database Approach to Knowledge Represention.
Challenge Problems for Artificial Intelligence (Panel Statements).
Boosting Theory Towards Practice: Recent Developments in Decision Tree Induction and the Weak Learning Framework.
Refinement Planning: Status and Prospectus.
Using Multi-Agent Systems to Represent Uncertainty.
Brain Dynamics in the Genesis of Trust as the Basis for Communication by Representations.
Moving Up the Information Food Chain: Deploying Softbots on the World Wide Web.
Robots With AI: A Retrospective on the AAAI Robot Competitions and Exhibitions.
A Counterexample to Theorems of Cox and Fine.
First-Order Conditional Logic Revisited.
Plausibility Measures and Default Reasoning.
On the Foundations of Qualitative Decision Theory.
Generalized Queries on Probabilistic Context-Free Grammars.
Building Classifiers Using Bayesian Networks.
A Clinician's Tool for Analyzing Non-Compliance.
Goal Oriented Symbolic Propagation in Bayesian Networks.
A Connectionist Framework for Reasoning: Reasoning with Examples.
Using Constraints to Model Disjunctions in Rule-Based Reasoning.
Production Systems Need Negation as Failure.
A Linear-Programming Approach to Temporal Reasoning.
Monitoring the Progress of Anytime Problem-Solving.
A Cost-Directed Planner: Preliminary Report.
Planning for Temporally Extended Goals.
Linear Time Near-Optimal Planning in the Blocks World.
Finding Optimal Solutions to the Twenty-Four Puzzle.
Pushing the Envelope: Planning, Propositional Logic and Stochastic Search.
Is "Early Commitment" in Plan Generation Ever a Good Idea?
On the Size of Reactive Plans.
A Qualitative Model for Temporal Reasoning with Incomplete Information.
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations.
Rewarding Behaviors.
Generalizing Indexical-Functional Reference.
Opportunity Recognition in Complex Environments.
What Is Planning in the Presence of Sensing?
A Bias towards Relevance: Recognizing Plans where Goal Minimization Fails.
Integrating Visual Information Across Camera Movements with a Visual-Motor Calibration Map.
Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems.
Using Elimination Methods to Compute Thermophysical Algebraic Invariants from Infrared Imagery.
A Hybrid Learning Approach for Better Recognition of Visual Objects.
Noise and the Common Sense Informatic Situation for a Mobile Robot.
Motion and Color Analysis for Animat Perception.
Interfacing Sound Stream Segregation to Automatic Speech Recognition - Preliminary Results on Listening to Several Sounds Simultaneously.
Using Plan Reasoning in the Generation of Plan Descriptions.
Building Up Rhetorical Structure Trees.
Semantic Interpretation of Nominalizations.
HUNTER-GATHERER: Three Search Techniques Integrated for Natural Language Semantics.
Learning to Parse Database Queries Using Inductive Logic Programming.
Automatically Generating Extraction Patterns from Untagged Text.
Left-Corner Unification-Based Natural Language Processing.
Tree-Bank Grammars.
Generating Multiple New Designs From a Sketch.
A Qualitative Model of Physical Fields.
Augmenting the Diagnostic Power of Flow-Based Approaches to Functional Reasoning.
Diagrammatic Reasoning and Cases.
Managing Occurrence Branching in Qualitative Simulation.
Building Steady-State Simulators via Hierarchical Feedback Decomposition.
A Formal Hybrid Modeling Scheme for Handling Discontinuities in Physical System Models.
Trajectory Constraints in Qualitative Simulation.
A Model-Based Approach to Reactive Self-Configuring Systems.
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes.
A Model-Based Approach to Blame Assignment: Revising the Reasoning Steps of Problem Solvers.
Improving Model-Based Diagnosis through Algebraic Analysis: The Petri Net Challenge.
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation.
Robot Navigation Using Image Sequences.
GARGOYLE: An Environment for Real-Time, Context-Sensitive Active Vision.
Classifying and Recovering from Sensing Failures in Autonomous Mobile Robots.
Recognizing and Interpreting Gestures on a Mobile Robot.
Guaranteeing Safety in Spatially Situated Agents.
Navigation for Everyday Life.
Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids.